学龄前儿童的欺骗行为与前额叶皮层激活有关:一项 fNIRS 研究。

IF 4.7 2区 医学 Q1 NEUROIMAGING NeuroImage Pub Date : 2024-08-15 DOI:10.1016/j.neuroimage.2024.120795
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引用次数: 0

摘要

欺骗是儿童道德发展的重要组成部分。以往的发展研究表明,儿童在 3 岁时开始欺骗,随着年龄增长到 5 岁,几乎所有儿童都能为自己的利益而欺骗。尽管行为学研究表明,欺骗行为的产生和发展与认知能力有关,但人们对其神经相关因素仍然知之甚少。因此,本研究使用功能性近红外光谱技术研究了学龄前儿童(89 人,44% 为男孩,年龄 3.13 至 5.96 岁,汉族)欺骗行为背后的神经相关因素。研究采用改良的捉迷藏范式来诱发欺骗和讲真话行为。结果显示,双侧背外侧前额叶皮层的激活与 3 岁儿童在竞技游戏中欺骗对手的倾向呈正相关。此外,欺骗倾向高的 3 岁儿童在进行欺骗时,其前额叶区域的大脑激活与 5 岁儿童相同,而从未进行欺骗的 3 岁儿童则没有这种效应。这些发现强调了学龄前儿童的欺骗行为与前额叶皮层功能之间的联系。
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Preschoolers' deception related to prefrontal cortex activation: An fNIRS study

Deception is an essential part of children's moral development. Previous developmental studies have shown that children start to deceive at the age of 3 years, and as age increased to 5 years, almost all children were able to deceive for their own benefit. Although behavioral studies have indicated that the emergence and development of deception are related to cognitive abilities, their neural correlates remain poorly understood. Therefore, the present study examined the neural correlates underlying deception in preschool-aged children (N = 89, 44 % boys, age 3.13 to 5.96 years, Han Chinese) using functional near-infrared spectroscopy. A modified hide-and-seek paradigm was applied to elicit deceptive and truth-telling behaviors. The results showed that activation of bilateral dorsolateral prefrontal cortex was positively associated with the tendency to deceive an opponent in a competitive game in the 3-year-olds. In addition, 3-year-olds who showed a high tendency to deceive showed the same brain activation in the frontopolar area as 5-year-olds did when engaged in deception, whereas no such effect was found in 3-year-olds who never engaged in deception. These findings underscore the link between preschoolers’ deception and prefrontal cortex function.

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来源期刊
NeuroImage
NeuroImage 医学-核医学
CiteScore
11.30
自引率
10.50%
发文量
809
审稿时长
63 days
期刊介绍: NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.
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